Controlling Sellers Who Provide Advice: Regulation and Competition*

A monopoly seller advising buyers about which of two goods fits their needs may be tempted to recommend the higher margin good. For the seller to collect information about a buyer’s needs and provide truthful advice, the profits from selling both goods must be similar enough, i.e., within an implementability cone. The optimal regulation controls pricing distortions and information-collection incentives separately via price regulation and fixed rewards respectively. This no longer holds when the seller has private information about costs as both problems interact. We study whether competition and the threat by buyers to switch sellers can substitute for regulation.     

COMPETITION AND DISCLOSURE*

There are many laws that require sellers to disclose private information about the quality of their products. But the theoretical justification for these laws is not obvious: economic theory predicts that a seller will voluntarily disclose such quality information, however unfavorable, as long as it is costless to do so. Here we show that competitive pressures between firms can undermine this full disclosure result, and explain why it may be the case that only high‐quality firms choose to disclose. In this setting, mandatory disclosure laws can promote competition and raise consumer surplus at the expense of firm profits, potentially increasing the efficiency of the market.     

Auction Platform Design and the Linkage Principle

This paper examines an auction platform in which the monopoly platform maximizes profits by adjusting participation fees and choosing an auction format. The seller has private information on the quality of the good, and each participating buyer receives a private signal about his valuation of the good. The choice of auction format determines the allocation of trading surplus between the seller and buyers. This paper shows that when the seller's type is affiliated with the buyers' signals, the platform can charge higher participation fees on both sides by choosing a first‐price or descending auction than a second‐price or ascending auction.     

Effects of seller’s information disclosure in equity auctions requiring post-auction investment

We consider a moral hazard issue inherent in the equity auctions of assets such as oil and gas leases and corporate takeovers. After the auction, the winning bidder decides whether to make follow-up investments in the acquired asset and makes the equity payment out of the revenue from it according to the auction outcome. Before the auction, the seller holds private information about the possible returns on that investment and must decide whether to disclose it. Larger equity payments undermine incentives to invest, reducing the impact of information revealed by the seller on expected values of the asset to a winning bidder. Thus, information disclosure makes bids less aggressive in expectation. Expected seller revenues may be higher when she does not disclose her private information than when she commits to publicly announcing it regardless of whether it is good or bad.     

Price Discrimination with Demarketing

We study how demarketing interacts with pricing decisions to explain why and when it can be employed as the seller's optimal strategy. In our model, a monopolistic seller offers different price‐quality bundles of the product. A consumer's preference is private information. With demarketing, consumers must make a costly effort to purchase and/or utilize the product, whereas with marketing, the seller instead makes the effort so that the consumer's purchasing decision is independent of the cost of effort. Our result suggests that, for small or large effort costs, it is optimal for the seller to engage in marketing. For intermediate effort costs, however, demarketing can be optimal. With demarketing, the seller induces only the consumers with high valuation to make transaction effort. By doing so, the seller can price discriminate more effectively, thus extracting more surplus. We extend our analysis to the case where the seller can offer special deals through exclusive sales channels along with demarketing. Then, demarketing can be optimal even for large costs of effort.     

Optimal mechanisms for an auction mediator

We consider a dynamic auction environment with a long-lived seller and short-lived buyers mediated by a third party. A mediator has incomplete information about traders’ values and selects an auction mechanism to maximize her expected revenue. We characterize mediator-optimal mechanisms and show that an optimal mechanism has a simple implementation as a Vickrey auction with a reserve price where the seller pays to the mediator only a fixed percentage from the closing price.     

Information disclosure in optimal auctions

This paper analyzes a situation in which the seller controls the accuracy of what potential buyers learn about their valuation of a good to be sold. This setting is related to many real situations such as home sales, antique auctions, and digital platforms such as Google and Facebook selling online advertising slots. Two important questions arise: what is the optimal selling mechanism, and what is the optimal disclosure policy of the seller. Under the assumption of private values, a simple auction with a reserve price is the optimal mechanism. What we show is that the amount of (costly) information provided increases with the number of potential bidders when using the optimal mechanism and is greater than when the object is always sold. Because information changes the distribution of a bidder’s expected valuations, the optimal reserve price also changes, so that the number of bidders (indirectly) affects the reserve price. We show that as the number of bidders increases, the optimal reserve price becomes more restrictive.     

Credence goods monopolists

With a credence good consumers never discover how much of the good they actually need. Therefore, the seller acts as the expert determining the customers’ requirements. This information asymmetry creates strong incentives for the seller to cheat on services. We analyze whether the market mechanism may induce non-fraudulent seller behavior. We consider four scenarios differing in the amount of information consumers have at hand to infer the seller’s incentives to be honest. In three constellations the profit maximizing credence goods monopolist provides honest services; only in one scenario there is no trade.     

Incentives through consumer learning about tastes

We consider a long-lived firm that faces an infinite sequence of finitely-lived consumers. In each period, the firm can exert either high or low effort, which is the firm's private information. When consumers learn about the firm's talent from the outcomes of previous transactions, there exists no equilibrium in which the firm always exerts high effort. However, when consumers learn about their own tastes, such an equilibrium can exist. Consumer learning about tastes therefore is an alternative to reputational concerns that produces stable incentives. We discuss the implications of this mechanism for advertising, advertising content, and consumer education.     

A Dynamic Model of Auctions with Buy‐It‐Now: Theory and Evidence

In the ascending‐price auctions with Yahoo!‐type buy‐it‐now (BIN), we characterize and derive the closed‐form solution for the optimal bidding strategy of the bidders and the optimal BIN price of the seller when they are both risk‐averse. The seller is shown to be strictly better off with the BIN option, while the bidders are better off only when their valuation is high enough. The theory also implies that the expected transaction price is higher in an auction with an optimal BIN price than one without a BIN option. This prediction is confirmed by our data collected from Taiwan's Yahoo! auctions.     

Quality infomediation in search markets

We examine the effects of informational intermediation by a third party ‘infomediary’ in a search model with heterogeneous seller qualities and asymmetric information. The infomediary earns revenue by selling a list of accredited sellers (a ‘guidebook’) to buyers and selling accreditations to sellers. We show that such information always improves welfare but can hurt informed buyers (as well as the uninformed) if it is not sufficiently informative about seller qualities. The model also provides a number of insights concerning the private and social incentives to create information, and the determinants and nature of demand for infomediation services by buyers and sellers.     

Managing Seller–Buyer Relationships during New Product Development*

Ineffective relationship management with potential buyers during new product development (NPD) can be an important contributor to new product failure in technology‐based, industrial markets. However, empirical research on managing these relationships remains underdeveloped. This study addresses this deficiency by developing an empirically based taxonomy of relationship approaches used by sellers to develop technology‐based, industrial innovations, identifying situational characteristics that correlate with the choice of a particular relationship approach, and evaluating sellers' satisfaction with their relationship approach. The study's conceptual model is rooted in transaction cost analysis (TCA) and draws from extant literature on seller–buyer relationships during NPD. It was tested with data from 334 small to mid‐sized firms in a variety of technology‐based industrial markets. The results indicate that sellers use three basic relationship approaches during NPD: a bilateral approach, a buyer‐guided approach, and a seller‐guided approach. While the bilateral approach relies on a mutual exchange of information, the buyer‐guided and seller‐guided approaches do not. Juxtaposed with the high levels of satisfaction experienced by sellers in the sample, the study suggests that no one relationship approach is universally desirable. Therefore, managers may need to engage in a portfolio of relationship approaches with buyers during NPD; further, these approaches should correlate with buyer‐related (i.e., perceived buyer knowledge and prior relationship history) and innovation‐related (i.e., product customization and technological uncertainty) characteristics. Collectively, these results can help sellers optimize their relationships with buyers during NPD.     

Shopping for Information: Implications of Consumer Learning for Optimal Pricing and Product Design*

I study a seller's pricing problem where consumers perform costly product research about value before purchase. They buy the product when sufficiently optimistic about value and cease research when sufficiently pessimistic. I find that the seller encourages product research when prior belief about value is high, even though he could sell immediately for a high price. The prior affects both expected value and how additional information changes consumers' beliefs. I show that an increase in research cost affects equilibrium price nonmonotonically. Finally, when the seller chooses price and product value dispersion, the optimal level of dispersion need not be extremal.     

Role of resource gap and value appropriation: effect of reputation gap on price premium in online auctions

In this study, we draw on the resource‐based view of the firm and on value‐based models of strategy to examine when firms appropriate value from their superior resources. We argue for the need to take into account the role of the resource gap between competitors rather than the absolute resource stock of the focal firm when examining the resource‐performance relationship. In particular, we investigate whether the ability of a reputable seller to command a price premium is influenced by the reputation gap (i.e., the reputation differences between the focal seller and its closest competitor standardized by the reputation stock of both sellers). We test our hypotheses on 72 matched pairs of online transactions screened from more than 2,000 auctions of new mobile phones on the Polish Internet auction site Allegro. We find that the ability of a reputable seller to command a price premium (1) increases with the size of the reputation gap between the focal seller and its matched competitor, and (2) becomes increasingly smaller for each additional unit of the seller reputation gap. Copyright © 2010 John Wiley & Sons, Ltd.     

First‐Price Sealed‐Bid Tender versus English Open Auction: Evidence from Land Auctions

This article compares whether the first‐price sealed‐bid tender or the ascending English open auction generates higher revenue for the seller. Using a unique set of data for land sales and accounting for the presence of an endogenous discrete mechanism choice variable, our results show that the first‐price sealed‐bid tender generates a lower land price, in the range of 1.2–9.6%, than the English open auction. Our results validate the theoretical prediction that open auctions result in higher prices because bidders can infer other bidders’ information by observing their bids in the common value auction paradigm.     

An Experimental Analysis of the Impact of Intermediaries on the Outcome of Bargaining Games

We conduct an experimental analysis of the bargaining between a buyer and a seller of the exchange of a single good by means of an intermediary or broker. We examine how an intermediary affects the price, the likelihood of a successful negotiation, and the time it takes to complete a negotiation. We first examine the impact of the intermediary as a pure middleman, and then as an information source about the distribution of seller and buyer reservation prices. The results show that an intermediary, whether or not informed, increases the sale price, reduces the likelihood of an agreement, and increases the time to reach an agreement (though the number of bargaining rounds declines). The results suggest that the benefits of brokerage may be predominantly in the matching of buyers and sellers rather than in facilitating bargaining.     

Is the ‘Linkage Principle’ Valid? Evidence from the Field

We present field evidence concerning experienced bidders that supports the linkage principle—specifically, the prediction that in affiliated‐values auction environments the expected revenues generated at open‐outcry, ascending‐bid auctions are higher than those under auction formats that reveal less information to participants. Using field data from a large seller of automobiles who experimented with different selling formats, we have found that average revenues were significantly higher under an English auction than under a dynamic Internet auction format that revealed less information to bidders.     

Vertical mergers in procurement markets

This paper uses computational methods that reveal ambiguous strategic effects of vertical mergers in a duopoly setting featuring incomplete information about sellers' costs, and differences in sellers' productive capabilities. First, vertical mergers can be jointly unprofitable. Second, the buyer's preferred merger partner is almost always the seller with lower expected costs, and is typically the larger seller. Third, vertical mergers always reduce the unintegrated seller's profits, sometimes dramatically. Finally, vertical mergers can increase total welfare. Some of the results contrast qualitatively with unambiguous findings from models with symmetric sellers, which suggests that caution should be used in drawing general inferences from those models.     

Information Unraveling Revisited: Disclosure of Horizontal Attributes

This paper analyzes in a spatial framework how much information a seller discloses about the variety he sells when he faces a buyer with a privately known taste for variety. I identify an equilibrium in which, for each possible variety, the seller's optimal strategy consists of either fully disclosing the variety or disclosing how far it is from the buyer's expected taste. The set of varieties the seller fully discloses monotonically expands as the buyer's taste for variety becomes stronger. I show that this is the unique undefeated equilibrium. From a policy perspective, mandating full disclosure is socially harmful.     

FINANCIAL VALUE OF REPUTATION: EVIDENCE FROM THE eBAY AUCTIONS OF GMAIL INVITATIONS*

In this article, I utilize a unique collection of auctions on eBay to study the influence of seller reputation on auction outcomes. In a market of homogeneous goods with non‐enforceable contracts, I find that sellers who improve their reputation by one quintile from the lowest, experience a 6.2% higher probability of sale and a 6.1% hike in valuation after adjusting for truncation bias from failed auctions and explicitly controlling for unobservable seller heterogeneity. This study also shows that in addition to a dimension of reputation universal across different product markets, the product‐specific dimension of reputation significantly affects the auction outcomes.